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Overview
This Business Analytics course from Imperial College Business School - Summer School at Imperial College London will focus on a brief introduction to probability/statistics, decision trees and optimisation and networks with applications in logistics and organisations.
By the end of the course you will:
Understand some basic probability concepts such as distributions, conditional probability etc. and apply them in real life situations.
Build and solve decision trees for modelling strategic real-world problems under uncertainty.
Understand how to formulate various kinds of optimization problems and solve them in Excel and AMPL.
Construct linear regression models for statistical analysis, and estimate them in R.
Get more details
Visit official programme websiteProgramme Structure
- Week one
We will review some basic probability (distributions, conditional probability, Bayes Theorem, Central Limit Theorem, etc.). We’ll also learn how to formulate real-world strategic problems under uncertainty as decision trees and how to solve these trees using an Excel Addin.
- Week two
We will learn how to formulate managerial decision problems as linear and discrete optimization problems, what the properties of these optimization problems are, and how these optimization problems can be solved in Excel and AMPL.
- Week three
We will learn about the specification and estimation of the linear regression model, from model assumptions, coefficient estimation to model inference and predictions. Using empirical applications drawn from economics and related fields, we will demonstrate how these approaches can be successfully applied in practice.
Key information
Duration
- Full-time
- 21 days
Start dates & application deadlines
- StartingApply anytime.
Language
English
IELTS 6.5
TOEFL® IBT 92
Delivered
Blended
Disciplines
Business Administration Business Intelligence & Analytics Business Information Systems View 46 other Short Courses in Business Intelligence & Analytics in United KingdomAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
IELTS 6.5
TOEFL® IBT 92
Other requirements
General requirements
- Applicants for this business analytics short course will be expected to have some prior exposure or previous learning in calculus, linear algebra and probability.
Tuition Fee
To alway see correct tuition fees
-
International
1980 GBP/fullTuition FeeBased on the tuition of 1980 GBP for the full programme during 21 days. -
EU/EEA
1980 GBP/fullTuition FeeBased on the tuition of 1980 GBP for the full programme during 21 days.
Early bird fee: applications made before 30 April
- One session: £1,980
- Two sessions: £3,564
Applications made after 30 April
- One session: £2,200
- Two sessions: £3,960
Living costs for London
1137 - 2157 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Scholarships of £1,000 are available to candidates who have accepted their Summer School offer and demonstrate a strong application, potential for future academic and career success, and the passion to make a positive impact on business and society.
Students who apply for Summer School by Friday 30 April and subsequently accept their offer should submit a brief supporting statement to be considered.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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